{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "AleatoryUncertainity_using_TFP.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "import tensorflow_probability as tfp\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras.layers import Dense\n",
        "from tensorflow.keras import Sequential\n",
        "\n",
        "plt.rcParams.update({'font.size': 22})\n",
        "tfd = tfp.distributions"
      ],
      "metadata": {
        "id": "DgGoHsJb36sw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def create_dataset(n, x_range):\n",
        "    x_uniform_dist = tfd.Uniform(low=x_range[0], high=x_range[1])\n",
        "    x = x_uniform_dist.sample(n).numpy() [:, np.newaxis] \n",
        "    y_true = 2.7*x+3\n",
        "    eps_uniform_dist = tfd.Normal(loc=0, scale=1)\n",
        "    eps = eps_uniform_dist.sample(n).numpy() [:, np.newaxis] *0.74*x\n",
        "    y = y_true + eps\n",
        "    return x, y, y_true"
      ],
      "metadata": {
        "id": "AzfkwX1A6iya"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train, y_train, y_true = create_dataset(2000, [-10, 10])\n",
        "x_val, y_val, _ = create_dataset(500, [-10, 10])"
      ],
      "metadata": {
        "id": "1xGQrrx76uAu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_dataset(x_train, y_train, x_val, y_val, y_true, title):\n",
        "    fig = plt.figure(figsize = (10, 10))\n",
        "    plt.scatter(x_train, y_train, marker='+', label='Training data')\n",
        "    plt.scatter(x_val, y_val, marker='*', color='r', label='Validation data')\n",
        "    plt.plot(x_train, y_true, color='b', label='Ground Truth')\n",
        "    plt.title(title)\n",
        "    plt.xlabel('$x$')\n",
        "    plt.ylabel('$y$')\n",
        "    plt.legend()\n",
        "    plt.show()\n",
        "\n",
        "plot_dataset(x_train, y_train, x_val, y_val, y_true, 'Synthetic Dataset')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "or1xZ0fM4itQ",
        "outputId": "443d4170-89c8-44a5-b671-2a60e36305c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KJ9vXM8y1hMk"
      },
      "outputs": [],
      "source": [
        "x_test = np.linspace(-10, 10, 1000).reshape(-1, 1)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Model Architecture\n",
        "model = Sequential([Dense(1, input_shape=(1,))])\n",
        "\n",
        "# Compile \n",
        "model.compile(loss='mse', optimizer='adam')\n",
        "\n",
        "# Fit\n",
        "model.fit(x_train, y_train, epochs=100, verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cZTvjgT_4sfN",
        "outputId": "00fb13e5-7191-4287-e62d-cf937b74024a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 287.2340\n",
            "Epoch 2/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 275.7011\n",
            "Epoch 3/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 264.5338\n",
            "Epoch 4/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 253.7497\n",
            "Epoch 5/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 243.3042\n",
            "Epoch 6/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 233.2276\n",
            "Epoch 7/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 223.4946\n",
            "Epoch 8/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 214.0521\n",
            "Epoch 9/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 204.9598\n",
            "Epoch 10/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 196.1727\n",
            "Epoch 11/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 187.7205\n",
            "Epoch 12/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 179.5483\n",
            "Epoch 13/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 171.6672\n",
            "Epoch 14/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 164.0370\n",
            "Epoch 15/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 156.7123\n",
            "Epoch 16/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 149.6484\n",
            "Epoch 17/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 142.8680\n",
            "Epoch 18/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 136.3400\n",
            "Epoch 19/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 130.0340\n",
            "Epoch 20/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 123.9887\n",
            "Epoch 21/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 118.1911\n",
            "Epoch 22/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 112.6331\n",
            "Epoch 23/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 107.2930\n",
            "Epoch 24/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 102.1812\n",
            "Epoch 25/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 97.2763\n",
            "Epoch 26/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 92.5866\n",
            "Epoch 27/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 88.1104\n",
            "Epoch 28/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 83.8370\n",
            "Epoch 29/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 79.7589\n",
            "Epoch 30/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 75.8544\n",
            "Epoch 31/100\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 72.1470\n",
            "Epoch 32/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 68.5942\n",
            "Epoch 33/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 65.2282\n",
            "Epoch 34/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 62.0335\n",
            "Epoch 35/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 58.9921\n",
            "Epoch 36/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 56.1192\n",
            "Epoch 37/100\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 53.3829\n",
            "Epoch 38/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 50.7997\n",
            "Epoch 39/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 48.3648\n",
            "Epoch 40/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 46.0724\n",
            "Epoch 41/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 43.9162\n",
            "Epoch 42/100\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 41.8819\n",
            "Epoch 43/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 39.9731\n",
            "Epoch 44/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 38.1891\n",
            "Epoch 45/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 36.5236\n",
            "Epoch 46/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 34.9629\n",
            "Epoch 47/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 33.4971\n",
            "Epoch 48/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 32.1402\n",
            "Epoch 49/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 30.8781\n",
            "Epoch 50/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 29.7015\n",
            "Epoch 51/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 28.6302\n",
            "Epoch 52/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 27.6200\n",
            "Epoch 53/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 26.7150\n",
            "Epoch 54/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 25.8676\n",
            "Epoch 55/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 25.1019\n",
            "Epoch 56/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 24.3887\n",
            "Epoch 57/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 23.7497\n",
            "Epoch 58/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 23.1621\n",
            "Epoch 59/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 22.6393\n",
            "Epoch 60/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 22.1625\n",
            "Epoch 61/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 21.7377\n",
            "Epoch 62/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 21.3557\n",
            "Epoch 63/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 21.0164\n",
            "Epoch 64/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 20.7095\n",
            "Epoch 65/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 20.4369\n",
            "Epoch 66/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 20.1976\n",
            "Epoch 67/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.9827\n",
            "Epoch 68/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.7959\n",
            "Epoch 69/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.6357\n",
            "Epoch 70/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.4931\n",
            "Epoch 71/100\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 19.3722\n",
            "Epoch 72/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.2672\n",
            "Epoch 73/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.1763\n",
            "Epoch 74/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.0973\n",
            "Epoch 75/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 19.0298\n",
            "Epoch 76/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.9709\n",
            "Epoch 77/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.9234\n",
            "Epoch 78/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.8805\n",
            "Epoch 79/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.8456\n",
            "Epoch 80/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.8159\n",
            "Epoch 81/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7894\n",
            "Epoch 82/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7691\n",
            "Epoch 83/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7518\n",
            "Epoch 84/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7392\n",
            "Epoch 85/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7254\n",
            "Epoch 86/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7145\n",
            "Epoch 87/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.7057\n",
            "Epoch 88/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6997\n",
            "Epoch 89/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6928\n",
            "Epoch 90/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6879\n",
            "Epoch 91/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6841\n",
            "Epoch 92/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6803\n",
            "Epoch 93/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6770\n",
            "Epoch 94/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6747\n",
            "Epoch 95/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6736\n",
            "Epoch 96/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6715\n",
            "Epoch 97/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6680\n",
            "Epoch 98/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6682\n",
            "Epoch 99/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6670\n",
            "Epoch 100/100\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 18.6658\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f86d08abc50>"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred = model(x_test)\n",
        "\n",
        "# Plot the data and a trained regression line\n",
        "plt.figure(figsize=(10, 10))\n",
        "plt.scatter(x_train, y_train, alpha=.5, label='Training Data')\n",
        "plt.plot(x_train, y_true, color='k', label='Ground Truth')\n",
        "plt.plot(x_test, y_pred, label='Fitted line', c='r')\n",
        "plt.xlabel('$x$')\n",
        "plt.ylabel('$y$')\n",
        "plt.title('Regression using Neural Network')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "Q2kHghr0B9c5",
        "outputId": "7afe0206-154a-4ed5-f6c3-a8ede621b117"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model = Sequential([Dense(2, input_shape = (1,)),\n",
        "    tfp.layers.DistributionLambda(lambda t: tfd.Normal(loc=t[..., :1], scale=0.3+tf.math.abs(t[...,1:])))\n",
        "])"
      ],
      "metadata": {
        "id": "Lpp1kmAeCdWD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define negative loglikelihood loss function\n",
        "def neg_loglik(y_true, y_pred):\n",
        "    return -y_pred.log_prob(y_true)"
      ],
      "metadata": {
        "id": "EufekBYHGMBM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(loss=neg_loglik, optimizer='adam')\n",
        "\n",
        "# Fit\n",
        "model.fit(x_train, y_train, epochs=500, verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DGYjzLfEG1lN",
        "outputId": "e279c679-f34d-4d14-a2cf-55cc58f4019d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/500\n",
            "63/63 [==============================] - 1s 1ms/step - loss: 9.2768\n",
            "Epoch 2/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 8.5041\n",
            "Epoch 3/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 7.9006\n",
            "Epoch 4/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 7.4155\n",
            "Epoch 5/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 7.0041\n",
            "Epoch 6/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 6.6567\n",
            "Epoch 7/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 6.3655\n",
            "Epoch 8/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 6.1077\n",
            "Epoch 9/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 5.8871\n",
            "Epoch 10/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 5.6918\n",
            "Epoch 11/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 5.5209\n",
            "Epoch 12/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 5.3717\n",
            "Epoch 13/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 5.2398\n",
            "Epoch 14/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 5.1212\n",
            "Epoch 15/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 5.0129\n",
            "Epoch 16/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.9139\n",
            "Epoch 17/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.8224\n",
            "Epoch 18/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.7375\n",
            "Epoch 19/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.6585\n",
            "Epoch 20/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.5838\n",
            "Epoch 21/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.5156\n",
            "Epoch 22/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.4523\n",
            "Epoch 23/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.3915\n",
            "Epoch 24/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.3335\n",
            "Epoch 25/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.2798\n",
            "Epoch 26/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.2294\n",
            "Epoch 27/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.1819\n",
            "Epoch 28/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 4.1377\n",
            "Epoch 29/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.0964\n",
            "Epoch 30/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.0577\n",
            "Epoch 31/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 4.0207\n",
            "Epoch 32/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.9852\n",
            "Epoch 33/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.9517\n",
            "Epoch 34/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.9197\n",
            "Epoch 35/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.8893\n",
            "Epoch 36/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.8602\n",
            "Epoch 37/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.8321\n",
            "Epoch 38/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.8053\n",
            "Epoch 39/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.7796\n",
            "Epoch 40/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.7544\n",
            "Epoch 41/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.7298\n",
            "Epoch 42/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.7062\n",
            "Epoch 43/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.6835\n",
            "Epoch 44/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.6612\n",
            "Epoch 45/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.6398\n",
            "Epoch 46/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.6189\n",
            "Epoch 47/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.5987\n",
            "Epoch 48/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.5791\n",
            "Epoch 49/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.5601\n",
            "Epoch 50/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.5413\n",
            "Epoch 51/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.5226\n",
            "Epoch 52/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.5044\n",
            "Epoch 53/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.4866\n",
            "Epoch 54/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.4692\n",
            "Epoch 55/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.4521\n",
            "Epoch 56/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.4348\n",
            "Epoch 57/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.4172\n",
            "Epoch 58/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.3999\n",
            "Epoch 59/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.3828\n",
            "Epoch 60/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.3658\n",
            "Epoch 61/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.3488\n",
            "Epoch 62/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.3318\n",
            "Epoch 63/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.3148\n",
            "Epoch 64/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.2978\n",
            "Epoch 65/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.2808\n",
            "Epoch 66/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.2635\n",
            "Epoch 67/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.2460\n",
            "Epoch 68/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.2278\n",
            "Epoch 69/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.2092\n",
            "Epoch 70/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 3.1903\n",
            "Epoch 71/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.1711\n",
            "Epoch 72/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.1515\n",
            "Epoch 73/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.1314\n",
            "Epoch 74/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.1108\n",
            "Epoch 75/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.0897\n",
            "Epoch 76/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.0679\n",
            "Epoch 77/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.0455\n",
            "Epoch 78/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 3.0223\n",
            "Epoch 79/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.9982\n",
            "Epoch 80/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.9733\n",
            "Epoch 81/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.9478\n",
            "Epoch 82/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.9217\n",
            "Epoch 83/500\n",
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            "Epoch 84/500\n",
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            "Epoch 85/500\n",
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            "Epoch 86/500\n",
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            "Epoch 87/500\n",
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            "Epoch 88/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.7524\n",
            "Epoch 89/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.7239\n",
            "Epoch 90/500\n",
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            "Epoch 91/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.6685\n",
            "Epoch 92/500\n",
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            "Epoch 93/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.6177\n",
            "Epoch 94/500\n",
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            "Epoch 95/500\n",
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            "Epoch 96/500\n",
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            "Epoch 97/500\n",
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            "Epoch 98/500\n",
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            "Epoch 99/500\n",
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            "Epoch 100/500\n",
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            "Epoch 101/500\n",
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            "Epoch 102/500\n",
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            "Epoch 103/500\n",
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            "Epoch 104/500\n",
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            "Epoch 105/500\n",
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            "Epoch 106/500\n",
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            "Epoch 107/500\n",
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            "Epoch 108/500\n",
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            "Epoch 109/500\n",
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            "Epoch 110/500\n",
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            "Epoch 111/500\n",
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            "Epoch 112/500\n",
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            "Epoch 113/500\n",
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            "Epoch 114/500\n",
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            "Epoch 115/500\n",
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            "Epoch 116/500\n",
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            "Epoch 117/500\n",
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            "Epoch 118/500\n",
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            "Epoch 120/500\n",
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            "Epoch 121/500\n",
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            "Epoch 122/500\n",
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            "Epoch 123/500\n",
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            "Epoch 124/500\n",
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            "Epoch 125/500\n",
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            "Epoch 126/500\n",
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            "Epoch 127/500\n",
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            "Epoch 128/500\n",
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            "Epoch 129/500\n",
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            "Epoch 130/500\n",
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            "Epoch 131/500\n",
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            "Epoch 132/500\n",
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            "Epoch 133/500\n",
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            "Epoch 134/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 135/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 136/500\n",
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            "Epoch 137/500\n",
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            "Epoch 138/500\n",
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            "Epoch 139/500\n",
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            "Epoch 140/500\n",
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            "Epoch 141/500\n",
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            "Epoch 142/500\n",
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            "Epoch 144/500\n",
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            "Epoch 147/500\n",
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            "Epoch 148/500\n",
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            "Epoch 149/500\n",
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            "Epoch 150/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.4498\n",
            "Epoch 151/500\n",
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            "Epoch 152/500\n",
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            "Epoch 153/500\n",
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            "Epoch 154/500\n",
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            "Epoch 155/500\n",
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            "Epoch 156/500\n",
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            "Epoch 157/500\n",
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            "Epoch 159/500\n",
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            "Epoch 162/500\n",
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            "Epoch 163/500\n",
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            "Epoch 164/500\n",
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            "Epoch 169/500\n",
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            "Epoch 170/500\n",
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            "Epoch 177/500\n",
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            "Epoch 182/500\n",
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            "Epoch 189/500\n",
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            "Epoch 190/500\n",
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            "Epoch 191/500\n",
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            "Epoch 192/500\n",
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            "Epoch 193/500\n",
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            "Epoch 194/500\n",
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            "Epoch 195/500\n",
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            "Epoch 196/500\n",
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            "Epoch 197/500\n",
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            "Epoch 198/500\n",
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            "Epoch 199/500\n",
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            "Epoch 200/500\n",
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            "Epoch 201/500\n",
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            "Epoch 202/500\n",
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            "Epoch 413/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 414/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 415/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 416/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 417/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 418/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 419/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 420/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 421/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 422/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 423/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 424/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 425/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 426/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 427/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 428/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.4499\n",
            "Epoch 429/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 430/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 431/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 432/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 433/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.4498\n",
            "Epoch 434/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 435/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 436/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 437/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 438/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 439/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 440/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 441/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 442/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 443/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 444/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 445/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 446/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 447/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 448/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 449/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 450/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4500\n",
            "Epoch 451/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 452/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 453/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 454/500\n",
            "63/63 [==============================] - 0s 1ms/step - loss: 2.4498\n",
            "Epoch 455/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 456/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 457/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 458/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4501\n",
            "Epoch 459/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 460/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 461/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 462/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 463/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 464/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 465/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 466/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 467/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 468/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 469/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 470/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 471/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4501\n",
            "Epoch 472/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 473/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 474/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 475/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 476/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 477/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 478/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 479/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 480/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 481/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 482/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 483/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 484/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 485/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 486/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 487/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 488/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 489/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 490/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 491/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4500\n",
            "Epoch 492/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 493/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 494/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 495/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 496/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 497/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4497\n",
            "Epoch 498/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4498\n",
            "Epoch 499/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n",
            "Epoch 500/500\n",
            "63/63 [==============================] - 0s 2ms/step - loss: 2.4499\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f86cc06b5d0>"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Summary Statistics\n",
        "y_mean = model(x_test).mean()\n",
        "y_std = model(x_test).stddev()"
      ],
      "metadata": {
        "id": "ncS9qRNzHE9f"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize = (20, 10))\n",
        "plt.scatter(x_train, y_train, marker='+', label='Training Data', alpha=0.5)\n",
        "plt.plot(x_train, y_true, color='k', label='Ground Truth')\n",
        "plt.plot(x_test, y_mean, color='r', label='Predicted Mean')\n",
        "plt.fill_between(np.squeeze(x_test), np.squeeze(y_mean+1*y_std), np.squeeze(y_mean-1*y_std),  alpha=0.6, label='Aleatory Uncertainty (1SD)')\n",
        "plt.fill_between(np.squeeze(x_test), np.squeeze(y_mean+2*y_std), np.squeeze(y_mean-2*y_std),  alpha=0.4, label='Aleatory Uncertainty (2SD)')\n",
        "plt.title('Aleatory Uncertainty')\n",
        "plt.xlabel('$x$')\n",
        "plt.ylabel('$y$')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 603
        },
        "id": "KUw5Ku-QQ9N-",
        "outputId": "9813e920-1d81-401e-c65d-e4abcbd6e3bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "XJgOtEJaHXl9"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}